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Anonymous

I'm working on a statistics project and need an explanation to help me learn.

I do not know how to do the rest of the project. Especially for the graph, I have no idea how to generate it, I need the help ASAP.

Name: Ruichen Zhang
DATA Set: Indicate one:
Automobiles
Homes
Apartments
Directions: Fill in the answer to the questions posed below. Attach the specified
printouts where indicated and upload the project in Canvas on or before February
2nd at midnight. Please give specific interpretations as generic answers will
not receive full credit.
1. Identify your experimental unit for this project: _A person who lived in an apartment
2. Identify the three variables that you collected data for your project and give the type of
variable (Quantitative or Qualitative) for each.
Variable 1:
___Rent____________ Type: _____Quantitative______________
Variable 2:
___ Size_________
Variable 3:
___Location___________
Type: _____Quantitative______________
Type: ___Qualitative________________
3. While I didn’t require you to select your data randomly, I do want you to understand how you
would sample in that manner. Give a brief description of how you would take a random
sample from level 3 of your Model/Location variable using the physical mixing technique.
I will choose the Hillsborough County as my level 3 location variable. The way that I take
a random sample is selecting people from different range, such as suburb, downtown area,
and places that around the university. Depends on various preferences, randomly selection
will show an explicit data.
Give me an assessment of the shape of the prices that you entered in your data set. What
shape do you think the data possess? Attach both the stem-and-leaf display and the
histrogram for the price variable for all 75 observations below your assessment of the
shape.
Assessment of the shape:
Paste your stem-and-leaf
display here using a courier
new font. Resize to fit.
Paste your histogram here
4. Copy and paste the descriptive statistics for the
sizes/mileages variable for all 75 observations in the box
to the right. Make sure the output contains the N, mean,
median, standard deviation, min/max, and the
quartiles of the variable specified. Interpret in the
words of the problems the following statistics that you
generated:
Paste your descriptive
statistics here using a
courier new 10-point font!
Median:
Standard Deviation:
Identify the minimum and maximum size/mileage values for your 75 in the data set shown in
the printout. Calculate (please show your math) the z-score for both these prices. Use these
z-scores to tell me whether you believe these two values are outliers and why/why not.
Zminimum = 𝑧 =
=
Outlier: Yes or No
(Select one)
Why or Why not?
Zmaximum = 𝑧 =
=
Outlier: Yes or No
(Select one)
Why or Why not?
5. I want you to use the boxplot method to identify outliers in your data set for the price variable.
I want you to consider the three locations/models separately, however. Use a single boxplot
to identify both outliers and suspect outliers that are present in each of the three
locations/models sampled. Attach the boxplots of the prices for each of the three
locations/models below. (You should have one printout that contains three boxplots).
Identify how many outliers and suspect outliers you have for each Location/Model that you
sampled. Make sure you check for both types of outliers (even if you tell me you don’t have
any of one, or both, types) for each Location/Model!
Location/Model 1:
Location/Model 2:
Location/Model 3:
Paste your boxplot here
...

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